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Digital Walls Consulting

Technologies — AI & Automation

Custom AI

& GenAI

Off-the-shelf AI tools solve generic problems. Your enterprise has specific ones. We build custom AI and GenAI applications grounded in your data, governed by your policies, and designed for the exact workflows where your people need intelligent assistance.

85%

HR helpdesk ticket deflection — enterprise knowledge assistant

60%

Reduction in AP processing — AI-driven invoice automation

Zero

Hallucination incidents — RAG architecture on verified enterprise data

80%+

Attrition prediction accuracy at 60-day horizon

"Every company wants AI. Almost none of them have the data foundation it requires. We build the foundation first — then the AI actually works, and works accurately."

Technologies — AI & Automation

Custom AI

& GenAI

Off-the-shelf AI tools solve generic problems. Your enterprise has specific ones. We build custom AI and GenAI applications grounded in your data, governed by your policies, and designed for the exact workflows where your people need intelligent assistance.

"An AI that only automates a task saves time. An AI that improves the decision changes the outcome. We build the second kind — grounded in data your teams can trust."

85%

HR helpdesk ticket deflection — enterprise knowledge assistant

60%

Reduction in AP processing — AI-driven invoice automation.

Zero

Hallucination incidents — RAG architecture on verified enterprise data

80%+

Attrition prediction accuracy at 60-day horizon

Built on

Azure OpenAI Service
Azure AI Foundry
Azure AI Search
Azure Machine Learning
SAP BTP AI Services
Microsoft Copilot Studio
LangChain
Semantic Kernel

Capabilities

Enterprise AI — grounded, governed, and actually useful

We build AI that is grounded in your verified data, integrated into your existing systems, and governed with the policies your CISO and compliance team will sign off on.

Enterprise Knowledge Assistants

RAG-based assistants grounded in your internal documents — HR policies, SOPs, product knowledge, legal contracts, and project documentation. Deployed in Teams or your web portal with SSO and zero hallucination risk.

Document Intelligence

AI extraction and analysis from contracts, invoices, purchase orders, and regulatory submissions — structured data output that feeds your ERP workflows without manual re-keying.

Predictive ML Models

Azure ML and Databricks models for demand forecasting, attrition prediction, credit risk scoring, and inventory optimisation — built on your enterprise data, auto-retrained weekly, and surfaced in Power BI.

Intelligent Process Automation

AI-driven automation for high-volume, rule-based processes — AP invoice matching, onboarding orchestration, contract clause extraction, and exception routing — where the AI handles the 85% and routes the 15% to humans.

Custom AI Agents

Multi-step autonomous agents that reason across your enterprise data — research assistants, procurement agents, HR advisors, and operational monitoring bots built on Azure AI Foundry and Semantic Kernel.

AI Governance & Risk Framework

Responsible AI design — data access controls, output monitoring, bias assessment, audit logging, and the AI policy framework your board and regulators require before enterprise AI goes to production.

Solution Accelerators

Pre-built. Battle-tested. Ready to deploy.

Knowledge Assistant

Enterprise RAG Assistant — Production-ready Template

A fully governed, production-ready RAG architecture template — Azure OpenAI, Azure AI Search, Teams deployment, SSO, access control, and usage monitoring built in from day one.

  • Azure AI Search index configuration for multi-source document corpus
  • RAG prompt engineering with citation and source attribution
  • Teams bot with SSO, per-user access control, and conversation history
  • Admin dashboard — query volume, accuracy ratings, and cost tracking
Azure OpenAI
Azure AI Search
Teams
Entra ID

Document Intelligence

Invoice & Contract AI Extraction Pipeline

Azure AI Document Intelligence extraction pipeline for invoices and contracts — structured JSON output mapped to your ERP field definitions, with validation rules and exception handling built in.

  • Invoice extraction — vendor, PO, amount, line items, and tax
  • Contract clause extraction — parties, dates, obligations, and renewals
  • Field mapping to S/4HANA and D365 Finance schemas
  • Confidence scoring and exception routing for low-confidence documents
Azure Document Intelligence
Azure Open AI
Power Automate

AI Governance

Enterprise AI Governance Framework Template

A governance framework covering AI risk classification, data access policies, output monitoring, bias testing, and the board-level AI policy documentation your organisation needs before going to production.

  • AI use case risk classification matrix
  • Data access and privacy policy templates for generative AI
  • Output monitoring and accuracy measurement framework
  • Board and regulatory AI disclosure documentation template
Azure AI
Microsoft Purview
Responsible AI

Case Studies

Delivered. Not just proposed.

Knowledge Assistant

Enterprise assistant — 85% HR helpdesk deflection in 90 days

Global ITeS Firm, India & US

  • Azure OpenAI RAG assistant grounded on HR policies, SOPs, and FAQs
  • 85% reduction in HR helpdesk tickets within 90 days of deployment
  • Zero hallucination incidents — every answer sourced from verified documents
  • Deployed in Teams with SSO — adoption required no change management
Azure OpenAI
Azure AI Search
Teams

Intelligent Automation

AI invoice processing — 60% AP effort reduction

Large Retail Group, India

  • Azure Document Intelligence extracting invoice data with 94% accuracy
  • Three-way match automated against S/4HANA POs via BTP
  • 60% reduction in AP manual effort — team shifted to governance role
  • Exception rate fell from 32% to 8% after 3 months of model learning
Azure Document Intelligence
Azure OpenAI
SAP BTP

Predictive ML

Attrition prediction — 80%+ accuracy at 60-day horizon

Mid-size ITeS Firm, India & UAE

  • Azure ML model trained on 3 years of SuccessFactors and S/4HANA HR data
  • 80%+ accuracy at 60-day advance warning — validated on holdout set
  • MLflow weekly retraining — model accuracy maintained as workforce evolves
  • Prediction scores in Power BI HRBP dashboard — interventions increased 3x
Azure ML
Databricks
MLflow
Power BI

Testimonials

Client Testimonials

What I was most concerned about was hallucinations. An AI giving wrong policy information to employees is a serious HR and legal risk. DWC built the RAG architecture so every answer is traceable to a specific document. We have had zero accuracy complaints and zero hallucination incidents in six months. That is the only metric that matters.

HR Director

ITeS Firm · Enterprise Knowledge Assistant

DWC were the first AI team that started the conversation by telling us what would not work before telling us what would. They assessed our data quality, told us the invoice extraction would not be viable until we fixed three source system issues, fixed them, then built the solution. That honesty upfront saved us months of wasted effort.

CFO

Retail Group · AI Invoice Processing

The attrition model changed how we think about retention. Before, we were always reacting to resignations. Now we have a 60-day window to act and our HR team uses it. The model retrains automatically every week. It has been running for 10 months without DWC needing to touch it. That is what a well-built ML pipeline looks like.

COO

ITeS Firm · Predictive Attrition Model

Start with an AI use case assessment.

30 minutes. We will map your highest-value AI opportunities against
your current data foundation — and tell you honestly which use cases
are ready to build now and which need groundwork first.

Let's Talk
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